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This work discusses the implementation of incremental hidden Markov model (HMM) training methods for electrocardiogram (ECG) analysis. The HMMs are used to model the ECG signal as a sequence of connected elementary waveforms. Moreover, an adaptation process is implemented to adapt the HMMs to the...
This paper presents a novel two-dimensional (2-D) stochastic method for semantic analysis of the content of histological images Specifically, we propose a 2-D generalization of the traditional hidden Markov model (HMM). The generalization is called spatial-hidden Markov model (SHMM) that captures...